{"title":"CLASSIFICATION AND MODELLING OF SOUND EMISSION\nSIGNALS IN SELECTED TRIBOSYSTEMS","authors":"M. Kekez, W. Jurczak, D. Ozimina","doi":"10.5604/01.3001.0015.6893","DOIUrl":null,"url":null,"abstract":"The paper presents an analysis of the sound level recorded during dry sliding friction conditions. Balls with\na diameter of 6 mm placed on pins were made of 100Cr6 steel, silicon carbide (SiC), and corundum (Al2O3),\nwhile rotating discs with a height of 6 mm and a diameter of 42 mm were made of 100Cr6 steel. Each pin and\ndisc system was tested for two values of the relative humidity of the air (50 ± 5% and 90 ± 5%). Models of\nthe A-sound level were developed using regression trees and random forest. The paper presents an analysis\nof the accuracy of the models obtained. Classifications of the six tests performed on the basis of sound level\ndescriptors were also carried out.\n\n","PeriodicalId":35004,"journal":{"name":"Tribologia: Finnish Journal of Tribology","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tribologia: Finnish Journal of Tribology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0015.6893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents an analysis of the sound level recorded during dry sliding friction conditions. Balls with
a diameter of 6 mm placed on pins were made of 100Cr6 steel, silicon carbide (SiC), and corundum (Al2O3),
while rotating discs with a height of 6 mm and a diameter of 42 mm were made of 100Cr6 steel. Each pin and
disc system was tested for two values of the relative humidity of the air (50 ± 5% and 90 ± 5%). Models of
the A-sound level were developed using regression trees and random forest. The paper presents an analysis
of the accuracy of the models obtained. Classifications of the six tests performed on the basis of sound level
descriptors were also carried out.